COVID-19 Chatbot Test
Enter symptoms, answer questions, and receive a score indicating the COVID-19 risk as high, medium or low. We take also +20,000 other possible diagnoses into consideration. The test performs at a 96.32% accuracy (see scientific study results below). Our chatbot is certified as medical device.
per Council Directive 93/42/EEC
COVID-19 world map
COVID-19 Accuracy
Sensitivity
29 of 30 COVID-19 cases detected
Specificity
1,071 of 1,112 cases correctly classified as "low risk" for COVID-19
Accuracy
In 1,100 of 1,142 cases prediction was correct
The indicated sensitivity, specificity and accuracy was evaluated based on symptomatic cases. These values may not be transferred for the purposes of identifying a current COVID-19 infection, especially for a presymptomatic or asymptomatic disease presentation. The COVID-19 chatbot does not represent an in-vitro-diagnostic device (e.g. PCR-Tests).
COVID-19 Test
Enter symptoms, answer questions, and receive a score indicating the COVID-19 risk.
COVID-19 Validation
COVID-19 study
An artificial intelligence based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot
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Sensitivity and Specificity
Symptoma correctly classifies 29 of 30 COVID-19 cases as COVID-19 risk (96.6% sensitivity). Of 1,112 British Medical Journal (BMJ) control cases (non-COVID-19), only 41 are classified as potential COVID-19 cases by Symptoma, with only seven of these ranking COVID-19 higher than the correct diagnoses. These seven cases relate to diseases that present similarly to COVID-19, however, have far lower incidence rates and, therefore, are deemed less likely, e.g. Severe Acute Respiratory Syndrome (SARS-CoV) or the Avian influenza A (H5N1) virus infection (bird flu). The results are summarized in the table below.
| n cases | Flagged as COVID-19 risk | Not flagged as COVID-19 risk | |
|---|---|---|---|
| COVID-19 cases | 30 | 29 True Positives | 1 False Negatives |
| BMJ cases | 1,112 | 41 False Positives | 1,071 True Negatives |
COVID-19 Accuracy
Sensitivity
29 of 30 COVID-19 cases detected
Specificity
1,071 of 1,112 cases correctly classified as "low risk" for COVID-19
Accuracy
In 1,100 of 1,142 cases prediction was correct
Performance
Differentiation of COVID-19 vs non-COVID-19 cases by Symptoma and four other questionaire based approaches (n = 394).
More Details →Discovery Speed and Sensitivity
Identification of COVID-19 cases with regards to the number of query terms entered. On the x-axis, the search rank of the query in Symptoma is given against the y-axis where each panel considers a different number of symptoms in the query. Only reported COVID-19 symptoms are considered. Points are jittered vertically for clarity only.
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